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Record W3015995016 · doi:10.1177/1078155219893441

International Society of Oncology Pharmacy Practitioners global position on the use of biosimilars in cancer treatment and supportive care

2020· article· en· W3015995016 on OpenAlexaff
Morgan B. Frazer, Joseph Bubalo, Himanshu Patel, Jim Siderov, Milagros Cubilla, Mário L de Lemos, Harbans Dhillon, Jatinder Harchowal, Nirachorn Kuchonthara, Annemeri Livinalli, Rodrigo Sousa Macedo, Winnie Mwangi, Hisanaga Nomura, Shaun O’Connor, M. Patterson, Mayde Seadi Torriani, Barbara Yim, Alexandre Chan, Emma Foreman

Bibliographic record

VenueJournal of Oncology Pharmacy Practice · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsBiosimilarMedicinePharmacyPharmacovigilanceHealth carePosition statementProduct (mathematics)Pharmacy practiceFamily medicinePharmacologyAdverse effectInternal medicine

Abstract

fetched live from OpenAlex

With the development of innovative cancer treatments over recent decades, the cost of cancer care has risen exponentially, limiting patient access to patented originator biotherapeutics in many countries. The introduction of biosimilars to the market has created new opportunities as well the need for changes in practice within healthcare institutions. A ‘biosimilar’ is a biotherapeutic product which is highly similar in terms of quality, safety and efficacy to an already licensed originator product. Although biosimilars lack clinically meaningful differences in therapeutic activity as compared to the originator product, these complex biological molecules are not considered identical chemical copies, unlike generics, and minor differences in molecular structure and inactive compounds may exist. A thorough understanding of these differences and their clinical implications is necessary for optimising medicines-use practices involving biosimilars. This position statement, developed by the International Society of Oncology Pharmacy Practitioners Biosimilars Taskforce, aims to provide the global oncology pharmacy community with guidance to support decisions around biosimilar use. The 11 statements cover the regulation and evaluation of biosimilars, practical issues around local implementation, the education of healthcare staff and patients, and the requirement for ongoing pharmacovigilance and outcome monitoring.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.773
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.158
GPT teacher head0.466
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2020
Admission routes1
Has abstractyes

Explore more

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